Security Scan Report: badhaiyatalmun.gov.np

Redirected to: https://badhaiyatalmun.gov.np/

Submitted: Nov 25, 2025, 6:11:22 AMCompleted: Nov 25, 2025, 6:12:59 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 5 domains to perform 201 HTTP transactions. The main domain is badhaiyatalmun.gov.np.

Submitted URL: http://badhaiyatalmun.gov.np/

Effective URL: https://badhaiyatalmun.gov.np/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no detected threats.

Safety Factors
Government domain (.gov.np)
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

बढैयाताल गाउँपालिका | गाँउ कार्यपालिकाकाे कार्यालय मैनापाेखर , बर्दिया लुम्बिनी प्रदेश , नेपाल

Scan Type

public

Language

🇳🇵

NE

(63% confidence)

Category

government public service

(74%)

Domain Information

Within the Nepalese country-code top-level domain (.gov.np), 'badhaiyatalmun.gov.np' is registered while skipping any subdomain. The second-level label 'badhaiyatalmun' is 14 characters long containing 6 vowels alongside eight consonants. Tokenizing the label suggests 5 words: bad, h, aiyat, al, mun. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://badhaiyatalmun.gov.np/

Page Load Overview

31.47s
Total Load Time
201
HTTP Requests
5
Domains
4.9 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:63%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:63%
Script Type:Unknown
Text Length:16,043 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service74% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
74%
healthcare medical
68%
government
48%
finance banking
31%
documentation technical
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
178103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
26146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
25142.250.185.99United States
AS15169GOOGLE
25157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
252a00:1450:4001:82f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
252a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
252a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2142.250.185.202United States
AS15169GOOGLE
2018--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180F3401897F7B232009D74C671158E33CBCE9D31CF72C149BAACA69A1BC9D74A4E2257

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:alcFrsOJUeVH37DnT37/9P37qtgDMu7Mo0ayflZyi0PIagDOEBc8mQVVzX9xGBSL:drsCnLde90Mn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159659:FIjzDJMDhRcQhIliMBIQAHIASAIqGO03xMEC4YvEVU2CNSQHoEJA4DAcZEEltDMDsIgQAEAhHDiQQpkGBzovIAgARWAkIACk

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffff000000ffff
Perceptual Hash:ab9ace09add669a0
Difference Hash:6139817753532102
Wavelet Hash:ffbf01000000ffff
Color Hash:#8b79d2

Scan History

Scan history not available

Unable to load historical scan data